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Prof. Dr. sc. techn. Beat Brüderlin


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Scientific Focus

The computer graphics program at the TU Ilmenau was founded by Prof. Beat Brüderlin in 1996. The research and teaching activities of the computer graphics group at TU Ilmenau include interactive computer graphics, geometric modeling, image processing, pattern recognition, real-time rendering, as well as virtual and augmented reality. Recently, we expanded into new research directions in real-time computer animation, multi-media, and multidisciplinary collaborative work using internet technology.

Several research directions have been pioneered by the research group at the University of Utah and before that, at ETH Zurich: constraint solving using symbolic geometry (ca. 1988); 3D geometric constraint solver in the subsequent years; robust Boolean set operations, based on an intuitionistic, tolerance-based approach (1990 – 92). Such technology is now found in similar form in many commercial CAD modelers of today.

In 2001, the computer graphics group grew to 20 full-time staff (technical and scientific staff / Ph.D. students). In addition, many more graduate students are working as research students, or on their diploma theses (MS).

The research is funded mainly through institutional research grants, as well as through direct industry collaboration. This year, two new projects in virtual and augmented reality (VRIB and AR-PDA) started, which were funded by the German federal ministry for education and research (BMBF). These projects are conducted in collaboration with DaimlerChrysler, Siemens, the Heinz Nixdorf Institute, and other institutions.

In 1999, the Steinbeis Transfer Center for Interactive Computer Graphics / CAD was founded in Ilmenau, as a spin-off of the research group. Its goal is transferring technology resulting from our research into industrial applications.

Our research objective for the future is to apply interactive design methods to interdisciplinary scientific problem solving. It is a formidable challenge to integrate currently existing specialized systems (designed for restricted problem domains) to solve complex multi-disciplinary problems. Our goal can be achieved through cooperation with other research institutions, at universities and in industry.